Abstract is missing.
- Optimal Fixed and Adaptive Mutation Rates for the LeadingOnes ProblemSüntje Böttcher, Benjamin Doerr, Frank Neumann. 1-10 [doi]
- Mirrored Sampling and Sequential Selection for Evolution StrategiesDimo Brockhoff, Anne Auger, Nikolaus Hansen, Dirk V. Arnold, Tim Hohm. 11-21 [doi]
- Optimisation and Generalisation: Footprints in Instance SpaceDavid W. Corne, Alan P. Reynolds. 22-31 [doi]
- Optimizing Monotone Functions Can Be DifficultBenjamin Doerr, Thomas Jansen, Dirk Sudholt, Carola Winzen, Christine Zarges. 42-51 [doi]
- Log-Linear Convergence of the Scale-Invariant (::::µ::::/::::µ::::::::::w::::::, ::::lambda::::)-ES and Optimal ::::µ:::: for Intermediate Recombination for Large Population SizesMohamed Jebalia, Anne Auger. 52-62 [doi]
- Exploiting Overlap When Searching for Robust OptimaJohannes W. Kruisselbrink, Michael Emmerich, André H. Deutz, Thomas Bäck. 63-72 [doi]
- Benchmarking Evolutionary Algorithms: Towards Exploratory Landscape AnalysisOlaf Mersmann, Mike Preuss, Heike Trautmann. 73-82 [doi]
- One-Point Geometric CrossoverAlberto Moraglio. 83-93 [doi]
- When Does Dependency Modelling Help? Using a Randomized Landscape Generator to Compare Algorithms in Terms of Problem StructureRachael Morgan, Marcus Gallagher. 94-103 [doi]
- First-Improvement vs. Best-Improvement Local Optima Networks of NK LandscapesGabriela Ochoa, Sébastien Vérel, Marco Tomassini. 104-113 [doi]
- Differential Mutation Based on Population Covariance MatrixKarol Opara, Jaroslaw Arabas. 114-123 [doi]
- General Lower Bounds for the Running Time of Evolutionary AlgorithmsDirk Sudholt. 124-133 [doi]
- A Binary Encoding Supporting Both Mutation and RecombinationKarsten Weicker. 134-143 [doi]
- Towards Analyzing Recombination Operators in Evolutionary SearchYang Yu, Chao Qian, Zhi-Hua Zhou. 144-153 [doi]
- Bidirectional Relation between CMA Evolution Strategies and Natural Evolution StrategiesYouhei Akimoto, Yuichi Nagata, Isao Ono, Shigenobu Kobayashi. 154-163 [doi]
- A Fine-Grained View of GP Locality with Binary Decision Diagrams as Ant PhenotypesJames McDermott, Edgar Galván López, Michael O Neill. 164-173 [doi]
- More Effective Crossover Operators for the All-Pairs Shortest Path ProblemBenjamin Doerr, Daniel Johannsen, Timo Kötzing, Frank Neumann, Madeleine Theile. 184-193 [doi]
- Comparison-Based Adaptive Strategy Selection with Bandits in Differential EvolutionÁlvaro Fialho, Raymond Ros, Marc Schoenauer, Michèle Sebag. 194-203 [doi]
- Fixed Parameter Evolutionary Algorithms and Maximum Leaf Spanning Trees: A Matter of MutationStefan Kratsch, Per Kristian Lehre, Frank Neumann, Pietro Simone Oliveto. 204-213 [doi]
- An Archive Maintenance Scheme for Finding Robust SolutionsJohannes W. Kruisselbrink, Michael Emmerich, Thomas Bäck. 214-223 [doi]
- Experimental Supplements to the Theoretical Analysis of Migration in the Island ModelJörg Lässig, Dirk Sudholt. 224-233 [doi]
- General Scheme for Analyzing Running Times of Parallel Evolutionary AlgorithmsJörg Lässig, Dirk Sudholt. 234-243 [doi]
- Negative Drift in PopulationsPer Kristian Lehre. 244-253 [doi]
- Log(lambda) Modifications for Optimal ParallelismFabien Teytaud, Olivier Teytaud. 254-263 [doi]
- The Linkage Tree Genetic AlgorithmDirk Thierens. 264-273 [doi]
- An Analysis of the XOR Dynamic Problem Generator Based on the Dynamical SystemRenato Tinós, Shengxiang Yang. 274-283 [doi]
- The Role of Degenerate Robustness in the Evolvability of Multi-agent Systems in Dynamic EnvironmentsJames M. Whitacre, Philipp Rohlfshagen, Axel Bender, Xin Yao. 284-293 [doi]
- Evolutionary Learning of Technical Trading Rules without Data-Mining BiasAlexandros Agapitos, Michael O Neill, Anthony Brabazon. 294-303 [doi]
- Using Computational Intelligence to Identify Performance Bottlenecks in a Computer SystemFaraz Ahmed, Farrukh Shahzad, Muddassar Farooq. 304-313 [doi]
- Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric MutationBernd Bischl, Igor Vatolkin, Mike Preuss. 314-323 [doi]
- Globally Induced Model Trees: An Evolutionary ApproachMarcin Czajkowski, Marek Kretowski. 324-333 [doi]
- Open-Ended Evolutionary Robotics: An Information Theoretic ApproachPierre Delarboulas, Marc Schoenauer, Michèle Sebag. 334-343 [doi]
- A Novel Similarity-Based Crossover for Artificial Neural Network EvolutionMauro Dragoni, Antonia Azzini, Andrea Tettamanzi. 344-353 [doi]
- Indirect Encoding of Neural Networks for Scalable GoJason Gauci, Kenneth O. Stanley. 354-363 [doi]
- Comparison-Based Optimizers Need Comparison-Based SurrogatesIlya Loshchilov, Marc Schoenauer, Michèle Sebag. 364-373 [doi]
- A Cooperative Coevolutionary Approach to Partitional ClusteringMitchell A. Potter, Christine Couldrey. 374-383 [doi]
- Feature Selection for Multi-purpose Predictive Models: A Many-Objective TaskAlan P. Reynolds, David W. Corne, Michael J. Chantler. 384-393 [doi]
- Incorporating Domain Knowledge into Evolutionary Computing for Discovering Gene-Gene InteractionStephen D. Turner, Scott M. Dudek, Marylyn D. Ritchie. 394-403 [doi]
- The Application of Pittsburgh-Style Learning Classifier Systems to Address Genetic Heterogeneity and Epistasis in Association StudiesRyan J. Urbanowicz, Jason H. Moore. 404-413 [doi]
- Threshold Selection, Mitosis and Dual Mutation in Cooperative Co-evolution: Application to Medical 3D TomographyFranck Patrick Vidal, Evelyne Lutton, Jean Louchet, Jean-Marie Rocchisani. 414-423 [doi]
- Comparative Analysis of Search and Score Metaheuristics for Bayesian Network Structure Learning Using Node Juxtaposition DistributionsYanghui Wu, John A. W. McCall, David Corne. 424-433 [doi]
- Analyzing the Credit Default Swap Market Using Cartesian Genetic ProgrammingLaleh Zangeneh, Peter J. Bentley. 434-444 [doi]
- A Memetic Cooperative Optimization Schema and Its Application to the Tool Switching ProblemJhon Edgar Amaya, Carlos Cotta, Antonio José Fernández Leiva. 445-454 [doi]
- Ownership and Trade in Spatial Evolutionary Memetic GamesJuan C. Burguillo-Rial, Ana Peleteiro-Ramallo. 455-464 [doi]
- A Hyper-Heuristic Approach to Strip Packing ProblemsEdmund K. Burke, Qiang Guo, Graham Kendall. 465-474 [doi]
- Asymptotic Analysis of Computational Multi-Agent SystemsAleksander Byrski, Robert Schaefer, Maciej Smolka, Carlos Cotta. 475-484 [doi]
- Path-Guided Mutation for Stochastic Pareto Local Search AlgorithmsMadalina M. Drugan, Dirk Thierens. 485-495 [doi]
- Scheduling English Football Fixtures over the Holiday Period Using Hyper-heuristicsJonathon Gibbs, Graham Kendall, Ender Özcan. 496-505 [doi]
- Graph Clustering Based Model BuildingDavid Iclanzan, Dumitru Dumitrescu. 506-515 [doi]
- How to Choose Solutions for Local Search in Multiobjective Combinatorial Memetic AlgorithmsHisao Ishibuchi, Yasuhiro Hitotsuyanagi, Yoshihiko Wakamatsu, Yusuke Nojima. 516-525 [doi]
- Secure and Task Abortion Aware GA-Based Hybrid Metaheuristics for Grid SchedulingJoanna Kolodziej, Fatos Xhafa, Marcin Bogdanski. 526-535 [doi]
- A Memetic Algorithm for the Pickup and Delivery Problem with Time Windows Using Selective Route Exchange CrossoverYuichi Nagata, Shigenobu Kobayashi. 536-545 [doi]
- Ant Based Hyper Heuristics with Space Reduction: A Case Study of the p-Median ProblemZhilei Ren, He Jiang, Jifeng Xuan, Zhongxuan Luo. 546-555 [doi]
- A Study of Multi-parent Crossover Operators in a Memetic AlgorithmYang Wang, Zhipeng Lü, Jin-Kao Hao. 556-565 [doi]
- A Hybrid Genetic Algorithm for the Traveling Salesman Problem Using Generalized Partition CrossoverDarrell Whitley, Doug Hains, Adele E. Howe. 566-575 [doi]
- A Memetic Algorithm with Non Gradient-Based Local Search Assisted by a Meta-modelSaúl Zapotecas Martínez, Carlos A. Coello Coello. 576-585 [doi]
- Theoretically Investigating Optimal ::::µ::::-Distributions for the Hypervolume Indicator: First Results for Three ObjectivesAnne Auger, Johannes Bader, Dimo Brockhoff. 586-596 [doi]
- Convergence Rates of (1+1) Evolutionary Multiobjective Optimization AlgorithmsNicola Beume, Marco Laumanns, Günter Rudolph. 597-606 [doi]
- Tight Bounds for the Approximation Ratio of the Hypervolume IndicatorKarl Bringmann, Tobias Friedrich. 607-616 [doi]
- Evolutionary Multiobjective Optimization Algorithm as a Markov SystemEwa Gajda, Robert Schaefer, Maciej Smolka. 617-626 [doi]
- A Natural Evolution Strategy for Multi-objective OptimizationTobias Glasmachers, Tom Schaul, Jürgen Schmidhuber. 627-636 [doi]
- Solving Multiobjective Optimization Problem by Constraint OptimizationHe Jiang, Shuyan Zhang, Zhilei Ren. 637-646 [doi]
- Enhancing Diversity for Average Ranking Method in Evolutionary Many-Objective OptimizationMiqing Li, Jinhua Zheng, Ke Li, Qizhao Yuan, Ruimin Shen. 647-656 [doi]
- Objective Space Partitioning Using Conflict Information for Many-Objective OptimizationAntonio López Jaimes, Hernán E. Aguirre, Kiyoshi Tanaka, Carlos A. Coello Coello. 657-666 [doi]
- How Crossover Speeds Up Evolutionary Algorithms for the Multi-criteria All-Pairs-Shortest-Path ProblemFrank Neumann, Madeleine Theile. 667-676 [doi]
- Path Relinking on Many-Objective NK-LandscapesJoseph M. Pasia, Hernán E. Aguirre, Kiyoshi Tanaka. 677-686 [doi]
- In Search of Equitable Solutions Using Multi-objective Evolutionary AlgorithmsPradyumn Kumar Shukla, Christian Hirsch, Hartmut Schmeck. 687-696 [doi]
- Stopping Criteria for Genetic Algorithms with Application to Multiobjective OptimizationMarcin Studniarski. 697-706 [doi]
- Defining and Optimizing Indicator-Based Diversity Measures in Multiobjective SearchTamara Ulrich, Johannes Bader, Lothar Thiele. 707-717 [doi]
- On Expected-Improvement Criteria for Model-based Multi-objective OptimizationTobias Wagner, Michael Emmerich, André H. Deutz, Wolfgang Ponweiser. 718-727 [doi]
- Parameter Tuning Boosts Performance of Variation Operators in Multiobjective OptimizationSimon Wessing, Nicola Beume, Günter Rudolph, Boris Naujoks. 728-737 [doi]